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A complete parameterization of clf‐based input‐to‐state stabilizing control laws
Author(s) -
Curtis J. W.,
Beard Randal W.
Publication year - 2004
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.961
Subject(s) - lyapunov function , generalization , control theory (sociology) , simple (philosophy) , constraint (computer aided design) , state (computer science) , mathematics , inverse , control (management) , computer science , nonlinear system , algorithm , mathematical analysis , physics , artificial intelligence , philosophy , geometry , epistemology , quantum mechanics
Sontag's formula proves constructively that the existence of a control Lyapunov function implies asymptotic stabilizability. A similar result can be obtained for systems subject to unknown disturbances via input‐to‐state stabilizing control Lyapunov functions (ISS‐clfs) and the input‐to‐state analogue of Sontag's formula. The present paper provides a generalization of the ISS version of Sontag's formula by completely parameterizing all continuous ISS control laws that can be generated by a known ISS‐clf. When a simple inner‐product constraint is satisfied, this parameterization also conveniently describes a large family of ISS controls that solve the inverse‐optimal gain assignment problem, and it is proved that these controls possess Kalman‐type gain margins. Copyright © 2004 John Wiley & Sons, Ltd.